10+ years of experience in data architecture, data engineering, or related fields.
Strong expertise in enterprise data platforms and modern data pipelines.
Familiarity with semantic technologies like RDF, OWL, and SPARQL.
Experience in metadata management and data governance processes.
Knowledge of cloud data services and secure data integrations.
Ability to communicate complex technical concepts to non-technical stakeholders.
Bachelor's degree required.
Responsibilities
Design and maintain enterprise data architectures integrating multiple systems.
Build and manage knowledge graphs and metadata structures for improved data context.
Develop secure, governed data pipelines for high-quality data.
Support AI and analytics teams with structured data for model development.
Establish data governance and quality standards across the organization.
Evaluate new technologies and recommend improvements to data platforms.
Ensure data sharing complies with security and zero trust requirements.
Benefits
Collaborative work environment with engineering and AI teams.
Opportunity to lead innovative data architecture projects.
Access to cutting-edge technologies and methodologies.
Focus on data governance and quality assurance.
Engagement in advanced analytics and AI initiatives.
Full Job Description
4566 Data Architect (Data Ops) - SME 4566 | Top Secret
Job Description:
OVERVIEW:
We are seeking a Data Architect (SME) who will lead the design and management of the organization's enterprise data environment, ensuring information is accurate, connected, and ready to support advanced analytics and AI. This role brings together traditional databases, modern data platforms, and semantic/knowledge-graph technologies to help teams access meaningful insights and power smarter decision-making. The SME also sets data standards, ensures secure data sharing across environments, and collaborates closely with engineering and AI teams to keep data structured, governed, and high quality.
Key Responsibilities:
Design and maintain enterprise data architectures that integrate multiple data systems.
Build and manage knowledge graphs, ontologies, and metadata structures that improve data context and discovery.
Develop secure, well governed data pipelines and processes for high quality, trusted data.
Support AI and analytics teams by providing structured, contextual data for model development and retrieval workflows.
Establish data governance, data quality, and metadata standards across the organization.
Evaluate new technologies and recommend improvements to data platforms and processes.
Ensure data sharing and access follow security, compliance, and zero trust requirements.
REQUIRED QUALIFICATIONS:
10+ years of experience • Data architecture, data engineering, or related areas.
Strong experience with enterprise data platforms, distributed systems, and modern data pipelines.
Familiarity with semantic technologies (RDF, OWL, SPARQL), ontologies, and knowledge graph design.
Experience with metadata management, data lineage, and data governance processes.
Knowledge of cloud data services and secure, multi environment data integrations.
Ability to communicate complex technical concepts clearly to non technical stakeholders.
In-house custom developed application
Advanced AI, GenAI & Multi-Model Engineering o Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution) o Temporal, spatial, geographic, quantitative, and computer vision AI implementation o Named Entity Recognition (NER), contextual entity extraction, and resolution o Multi-step retrieval and structured output generation o Complex data parsing and streamlined ingestion o Deep source citation and traceable analytic outputs
Data Architecture & ETL o Vector, graph, and multi database orchestration o Automated ETL pipeline creation, scheduling, and optimization o Attribute Based Access Control (ABAC) at the data layer o Provenance and end to end data lineage tracking o Schema aligned ingestion and normalization of diverse structured and unstructured data
Enterprise Infrastructure & CrossDomain Solutions o Air gapped, hybrid, and on premise operational environments o Container orchestration and distributed systems management (Kubernetes) o Locally hosted GPU servers and hyperconverged nodes o Multitenant CrossDomain Solutions (CDS)
Application Development & Integration o UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes) o Integration of reasoning components, retrieval systems, databases, and AI / GenAI services o Use of modern programming languages and frameworks
Bachelors required Minimum
DESIRED QUALIFICATIONS:
Experience supporting AI/ML teams, retrieval architectures, or vector-based search.
Background working in secure, multi enclave, or zero trust environments.
Experience with streaming data, real time processing, or hybrid cloud architectures.
Advanced degree in Computer Science, Information Science, Data Engineering, or related field.
Job Details
City : Chantilly
State : VA
About Affinity
Affinity’s patented technology structures and analyzes millions of data points across emails, calendars, and third-party sources to offer users the tools they need to automatically manage their most valuable relationships, prioritize important connections, and discover untapped opportunities. Affinity uses artificial intelligence to analyze relationship strength and illuminate the best paths to warm introductions. The platform also offers a holistic view of users’ networks in a centralized, automatically updated database without any manual upkeep. Founded in 2014, Affinity is headquartered in San Francisco, California.
Affinity has raised $120M to date and is backed by leading investors including Menlo Ventures, Advance Venture Partners, 8VC and MassMutual Ventures.
It has over 2,700 customers in 70 countries, including venture capital firms such as Bain Capital Ventures and Kleiner Perkins, private equity firms such as SoftBank Group, investment bankers such as Woodside Capital Partners, financial services firms such as Fidelity Investments, real estate companies such as Tishman Speyer, insurers such as American Family Insurance and enterprises such as Nike, Qualcomm and Twilio.
Affinity has been named in Fortune Magazine's Best Workplaces, Inc. Magazine's Best Workplaces and editor's number one pick, the Data Breakthrough Award, BIG Innovation Award and others.
